Insert, Upsert 和 Delete
本教程将介绍如何在 Collection 中进行数据操作,包括 insert(插入)、upsert(更新插入) 和 delete(删除)entities。
前提条件
概述
在 中,Collection 中的 Entity 概念是指共享相同字段集的数据记录,如图书馆中的图书或基因组中的基因。存储在每个字段中的数据共同形成 1 个 Entity。
Entity 是 Collection 中的基本数据单元。同一个 Collection 中的 Entity 具有相同的属性(如字段名称、数据类型、其他限制等),这些属性共同定义在 Schema 中。Collection 中每个 Entity 必须遵循 Schema。
待插入的 Entity 只有在包含 Collection Schema 中定义的所有字段时才能成功插入。如果您已开启动态列(Dynamic field)功能,待插入的 Entity 中可以包含 Schema 定义以外的字段。更多详情,请参考开启动态字段。
更多有关 Schema 和 Entity 详情,请参考 Schema 和集群、Collection 及 Entity。
准备工作
以下示例代码基于现有代码重新连接至 集群并快速创建了 1 个 Collection。
- Python
- Java
- NodeJS
from pymilvus import MilvusClient
CLUSTER_ENDPOINT = "YOUR_CLUSTER_ENDPOINT"
TOKEN = "YOUR_CLUSTER_TOKEN"
# 1. Set up a Milvus client
client = MilvusClient(
uri=CLUSTER_ENDPOINT,
token=TOKEN
)
# 2. Create a collection
client.create_collection(
collection_name="quick_setup",
dimension=5,
metric_type="IP"
)
import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.collection.request.CreateCollectionReq;
String CLUSTER_ENDPOINT = "YOUR_CLUSTER_ENDPOINT";
String TOKEN = "YOUR_CLUSTER_TOKEN";
// 1. Connect to Milvus server
ConnectConfig connectConfig = ConnectConfig.builder()
.uri(CLUSTER_ENDPOINT)
.token(TOKEN)
.build();
MilvusClientV2 client = new MilvusClientV2(connectConfig);
// 2. Create a collection in quick setup mode
CreateCollectionReq quickSetupReq = CreateCollectionReq.builder()
.collectionName("quick_setup")
.dimension(5)
.metricType("IP")
.build();
client.createCollection(quickSetupReq);
const { MilvusClient, DataType, sleep } = require("@zilliz/milvus2-sdk-node")
const address = "YOUR_CLUSTER_ENDPOINT"
const token = "YOUR_CLUSTER_TOKEN"
// 1. Set up a Milvus Client
client = new MilvusClient({address, token});
// 2. Create a collection in quick setup mode
await client.createCollection({
collection_name: "quick_setup",
dimension: 5,
metric_type: "IP"
});
上述代码生成的 Collection 仅包含 2 个字段:id (主键) and vector
(向量字段)。该 Collection 已默认开启 auto_id 和 enable_dynamic_field。 在插入数据时,
您无需再额外上传数据的 id 字段。系统会为插入数据自动生成主键。
未在 Schema 中预先定义的字段将被以键值对(key-value pair)的形式存储在预留的 JSON 字段 $meta 中。
Insert Entities
插入(Insert)数据前,请先将数据组织为字典表(dictionary list),每个字典代表一个 Entity,包含与目标 Collection 预定义的 Schema 和动态列对应的键(key)。
- Python
- Java
- NodeJS
# 3. Insert some data
data=[
{"id": 0, "vector": [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], "color": "pink_8682"},
{"id": 1, "vector": [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], "color": "red_7025"},
{"id": 2, "vector": [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], "color": "orange_6781"},
{"id": 3, "vector": [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], "color": "pink_9298"},
{"id": 4, "vector": [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], "color": "red_4794"},
{"id": 5, "vector": [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], "color": "yellow_4222"},
{"id": 6, "vector": [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], "color": "red_9392"},
{"id": 7, "vector": [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], "color": "grey_8510"},
{"id": 8, "vector": [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], "color": "white_9381"},
{"id": 9, "vector": [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], "color": "purple_4976"}
]
res = client.insert(
collection_name="quick_setup",
data=data
)
print(res)
# Output
#
# {
# "insert_count": 10,
# "ids": [
# 0,
# 1,
# 2,
# 3,
# 4,
# 5,
# 6,
# 7,
# 8,
# 9
# ]
# }
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import io.milvus.v2.service.vector.request.InsertReq;
import io.milvus.v2.service.vector.response.InsertResp;
// 3. Insert some data
List<JSONObject> data = Arrays.asList(
new JSONObject(Map.of("id", 0L, "vector", Arrays.asList(0.3580376395471989f, -0.6023495712049978f, 0.18414012509913835f, -0.26286205330961354f, 0.9029438446296592f), "color", "pink_8682")),
new JSONObject(Map.of("id", 1L, "vector", Arrays.asList(0.19886812562848388f, 0.06023560599112088f, 0.6976963061752597f, 0.2614474506242501f, 0.838729485096104f), "color", "red_7025")),
new JSONObject(Map.of("id", 2L, "vector", Arrays.asList(0.43742130801983836f, -0.5597502546264526f, 0.6457887650909682f, 0.7894058910881185f, 0.20785793220625592f), "color", "orange_6781")),
new JSONObject(Map.of("id", 3L, "vector", Arrays.asList(0.3172005263489739f, 0.9719044792798428f, -0.36981146090600725f, -0.4860894583077995f, 0.95791889146345f), "color", "pink_9298")),
new JSONObject(Map.of("id", 4L, "vector", Arrays.asList(0.4452349528804562f, -0.8757026943054742f, 0.8220779437047674f, 0.46406290649483184f, 0.30337481143159106f), "color", "red_4794")),
new JSONObject(Map.of("id", 5L, "vector", Arrays.asList(0.985825131989184f, -0.8144651566660419f, 0.6299267002202009f, 0.1206906911183383f, -0.1446277761879955f), "color", "yellow_4222")),
new JSONObject(Map.of("id", 6L, "vector", Arrays.asList(0.8371977790571115f, -0.015764369584852833f, -0.31062937026679327f, -0.562666951622192f, -0.8984947637863987f), "color", "red_9392")),
new JSONObject(Map.of("id", 7L, "vector", Arrays.asList(-0.33445148015177995f, -0.2567135004164067f, 0.8987539745369246f, 0.9402995886420709f, 0.5378064918413052f), "color", "grey_8510")),
new JSONObject(Map.of("id", 8L, "vector", Arrays.asList(0.39524717779832685f, 0.4000257286739164f, -0.5890507376891594f, -0.8650502298996872f, -0.6140360785406336f), "color", "white_9381")),
new JSONObject(Map.of("id", 9L, "vector", Arrays.asList(0.5718280481994695f, 0.24070317428066512f, -0.3737913482606834f, -0.06726932177492717f, -0.6980531615588608f), "color", "purple_4976"))
);
InsertReq insertReq = InsertReq.builder()
.collectionName("quick_setup")
.data(data)
.build();
InsertResp insertResp = client.insert(insertReq);
System.out.println(JSONObject.toJSON(insertResp));
// Output:
// {"insertCnt": 10}
// 3. Insert some data
var data = [
{id: 0, vector: [0.3580376395471989, -0.6023495712049978, 0.18414012509913835, -0.26286205330961354, 0.9029438446296592], color: "pink_8682"},
{id: 1, vector: [0.19886812562848388, 0.06023560599112088, 0.6976963061752597, 0.2614474506242501, 0.838729485096104], color: "red_7025"},
{id: 2, vector: [0.43742130801983836, -0.5597502546264526, 0.6457887650909682, 0.7894058910881185, 0.20785793220625592], color: "orange_6781"},
{id: 3, vector: [0.3172005263489739, 0.9719044792798428, -0.36981146090600725, -0.4860894583077995, 0.95791889146345], color: "pink_9298"},
{id: 4, vector: [0.4452349528804562, -0.8757026943054742, 0.8220779437047674, 0.46406290649483184, 0.30337481143159106], color: "red_4794"},
{id: 5, vector: [0.985825131989184, -0.8144651566660419, 0.6299267002202009, 0.1206906911183383, -0.1446277761879955], color: "yellow_4222"},
{id: 6, vector: [0.8371977790571115, -0.015764369584852833, -0.31062937026679327, -0.562666951622192, -0.8984947637863987], color: "red_9392"},
{id: 7, vector: [-0.33445148015177995, -0.2567135004164067, 0.8987539745369246, 0.9402995886420709, 0.5378064918413052], color: "grey_8510"},
{id: 8, vector: [0.39524717779832685, 0.4000257286739164, -0.5890507376891594, -0.8650502298996872, -0.6140360785406336], color: "white_9381"},
{id: 9, vector: [0.5718280481994695, 0.24070317428066512, -0.3737913482606834, -0.06726932177492717, -0.6980531615588608], color: "purple_4976"}
]
var res = await client.insert({
collection_name: "quick_setup",
data: data,
})
console.log(res.insert_cnt)
// Output
//
// 10
//
在 Partition 中 Insert Entities
如需在指定 Partition 中 Insert Entities,请参照以下示例代码在命令中指定 Partition 名称。
- Python
- Java
- NodeJS
# 4. Insert some more data into a specific partition
data=[
{"id": 10, "vector": [-0.5570353903748935, -0.8997887893201304, -0.7123782431855732, -0.6298990746450119, 0.6699215060604258], "color": "red_1202"},
{"id": 11, "vector": [0.6319019033373907, 0.6821488267878275, 0.8552303045704168, 0.36929791364943054, -0.14152860714878068], "color": "blue_4150"},
{"id": 12, "vector": [0.9483947484855766, -0.32294203351925344, 0.9759290319978025, 0.8262982148666174, -0.8351194181285713], "color": "orange_4590"},
{"id": 13, "vector": [-0.5449109892498731, 0.043511240563786524, -0.25105249484790804, -0.012030655265886425, -0.0010987671273892108], "color": "pink_9619"},
{"id": 14, "vector": [0.6603339372951424, -0.10866551787442225, -0.9435597754324891, 0.8230244263466688, -0.7986720938400362], "color": "orange_4863"},
{"id": 15, "vector": [-0.8825129181091456, -0.9204557711667729, -0.935350065513425, 0.5484069690287079, 0.24448151140671204], "color": "orange_7984"},
{"id": 16, "vector": [0.6285586391568163, 0.5389064528263487, -0.3163366239905099, 0.22036279378888013, 0.15077052220816167], "color": "blue_9010"},
{"id": 17, "vector": [-0.20151825016059233, -0.905239387635804, 0.6749305353372479, -0.7324272081377843, -0.33007998971889263], "color": "blue_4521"},
{"id": 18, "vector": [0.2432286610792349, 0.01785636564206139, -0.651356982731391, -0.35848148851027895, -0.7387383128324057], "color": "orange_2529"},
{"id": 19, "vector": [0.055512329053363674, 0.7100266349039421, 0.4956956543575197, 0.24541352586717702, 0.4209030729923515], "color": "red_9437"}
]
client.create_partition(
collection_name="quick_setup",
partition_name="partitionA"
)
res = client.insert(
collection_name="quick_setup",
data=data,
partition_name="partitionA"
)
print(res)
# Output
#
# {
# "insert_count": 10,
# "ids": [
# 10,
# 11,
# 12,
# 13,
# 14,
# 15,
# 16,
# 17,
# 18,
# 19
# ]
# }
// 4. Insert some more data into a specific partition
data = Arrays.asList(
new JSONObject(Map.of("id", 10L, "vector", Arrays.asList(-0.5570353903748935f, -0.8997887893201304f, -0.7123782431855732f, -0.6298990746450119f, 0.6699215060604258f), "color", "red_1202")),
new JSONObject(Map.of("id", 11L, "vector", Arrays.asList(0.6319019033373907f, 0.6821488267878275f, 0.8552303045704168f, 0.36929791364943054f, -0.14152860714878068f), "color", "blue_4150")),
new JSONObject(Map.of("id", 12L, "vector", Arrays.asList(0.9483947484855766f, -0.32294203351925344f, 0.9759290319978025f, 0.8262982148666174f, -0.8351194181285713f), "color", "orange_4590")),
new JSONObject(Map.of("id", 13L, "vector", Arrays.asList(-0.5449109892498731f, 0.043511240563786524f, -0.25105249484790804f, -0.012030655265886425f, -0.0010987671273892108f), "color", "pink_9619")),
new JSONObject(Map.of("id", 14L, "vector", Arrays.asList(0.6603339372951424f, -0.10866551787442225f, -0.9435597754324891f, 0.8230244263466688f, -0.7986720938400362f), "color", "orange_4863")),
new JSONObject(Map.of("id", 15L, "vector", Arrays.asList(-0.8825129181091456f, -0.9204557711667729f, -0.935350065513425f, 0.5484069690287079f, 0.24448151140671204f), "color", "orange_7984")),
new JSONObject(Map.of("id", 16L, "vector", Arrays.asList(0.6285586391568163f, 0.5389064528263487f, -0.3163366239905099f, 0.22036279378888013f, 0.15077052220816167f), "color", "blue_9010")),
new JSONObject(Map.of("id", 17L, "vector", Arrays.asList(-0.20151825016059233f, -0.905239387635804f, 0.6749305353372479f, -0.7324272081377843f, -0.33007998971889263f), "color", "blue_4521")),
new JSONObject(Map.of("id", 18L, "vector", Arrays.asList(0.2432286610792349f, 0.01785636564206139f, -0.651356982731391f, -0.35848148851027895f, -0.7387383128324057f), "color", "orange_2529")),
new JSONObject(Map.of("id", 19L, "vector", Arrays.asList(0.055512329053363674f, 0.7100266349039421f, 0.4956956543575197f, 0.24541352586717702f, 0.4209030729923515f), "color", "red_9437"))
);
CreatePartitionReq createPartitionReq = CreatePartitionReq.builder()
.collectionName("quick_setup")
.partitionName("partitionA")
.build();
client.createPartition(createPartitionReq);
insertReq = InsertReq.builder()
.collectionName("quick_setup")
.data(data)
.partitionName("partitionA")
.build();
insertResp = client.insert(insertReq);
System.out.println(JSONObject.toJSON(insertResp));
// Output:
// {"insertCnt": 10}
// 4. Insert some more data into a specific partition
data = [
{id: 10, vector: [-0.5570353903748935, -0.8997887893201304, -0.7123782431855732, -0.6298990746450119, 0.6699215060604258], color: "red_1202"},
{id: 11, vector: [0.6319019033373907, 0.6821488267878275, 0.8552303045704168, 0.36929791364943054, -0.14152860714878068], color: "blue_4150"},
{id: 12, vector: [0.9483947484855766, -0.32294203351925344, 0.9759290319978025, 0.8262982148666174, -0.8351194181285713], color: "orange_4590"},
{id: 13, vector: [-0.5449109892498731, 0.043511240563786524, -0.25105249484790804, -0.012030655265886425, -0.0010987671273892108], color: "pink_9619"},
{id: 14, vector: [0.6603339372951424, -0.10866551787442225, -0.9435597754324891, 0.8230244263466688, -0.7986720938400362], color: "orange_4863"},
{id: 15, vector: [-0.8825129181091456, -0.9204557711667729, -0.935350065513425, 0.5484069690287079, 0.24448151140671204], color: "orange_7984"},
{id: 16, vector: [0.6285586391568163, 0.5389064528263487, -0.3163366239905099, 0.22036279378888013, 0.15077052220816167], color: "blue_9010"},
{id: 17, vector: [-0.20151825016059233, -0.905239387635804, 0.6749305353372479, -0.7324272081377843, -0.33007998971889263], color: "blue_4521"},
{id: 18, vector: [0.2432286610792349, 0.01785636564206139, -0.651356982731391, -0.35848148851027895, -0.7387383128324057], color: "orange_2529"},
{id: 19, vector: [0.055512329053363674, 0.7100266349039421, 0.4956956543575197, 0.24541352586717702, 0.4209030729923515], color: "red_9437"}
]
await client.createPartition({
collection_name: "quick_setup",
partition_name: "partitionA"
})
res = await client.insert({
collection_name: "quick_setup",
data: data,
partition_name: "partitionA"
})
console.log(res.insert_cnt)
// Output
//
// 10
//
The output is a dictionary containing the statistics on the affected entities. For details on partition operations, refer to 管理 Partition.
Upsert Entities
Upsert 操作结合了 数据更新(Update)和插入(Insert)操作。Zilliz Cloud 通过判断数据主键(primary key)是否在 Collection 中已存在针对 Entity 进行插入或更新。具体而言:
-
如果 primary key 在 Collection 中已存在,使用新数据覆盖已有数据。
-
如果 primary key 在 Collection 中不存在,插入新数据。
Upsert 操作不会更新主键值。
Upsert 操作不支持开启了
autoID
的 Collection。
- Python
- Java
- NodeJS
# 5. Upsert some data
data=[
{"id": 0, "vector": [-0.619954382375778, 0.4479436794798608, -0.17493894838751745, -0.4248030059917294, -0.8648452746018911], "color": "black_9898"},
{"id": 1, "vector": [0.4762662251462588, -0.6942502138717026, -0.4490002642657902, -0.628696575798281, 0.9660395877041965], "color": "red_7319"},
{"id": 2, "vector": [-0.8864122635045097, 0.9260170474445351, 0.801326976181461, 0.6383943392381306, 0.7563037341572827], "color": "white_6465"},
{"id": 3, "vector": [0.14594326235891586, -0.3775407299900644, -0.3765479013078812, 0.20612075380355122, 0.4902678929632145], "color": "orange_7580"},
{"id": 4, "vector": [0.4548498669607359, -0.887610217681605, 0.5655081329910452, 0.19220509387904117, 0.016513983433433577], "color": "red_3314"},
{"id": 5, "vector": [0.11755001847051827, -0.7295149788999611, 0.2608115847524266, -0.1719167007897875, 0.7417611743754855], "color": "black_9955"},
{"id": 6, "vector": [0.9363032158314308, 0.030699901477745373, 0.8365910312319647, 0.7823840208444011, 0.2625222076909237], "color": "yellow_2461"},
{"id": 7, "vector": [0.0754823906014721, -0.6390658668265143, 0.5610517334334937, -0.8986261118798251, 0.9372056764266794], "color": "white_5015"},
{"id": 8, "vector": [-0.3038434006935904, 0.1279149203380523, 0.503958664270957, -0.2622661156746988, 0.7407627307791929], "color": "purple_6414"},
{"id": 9, "vector": [-0.7125086947677588, -0.8050968321012257, -0.32608864121785786, 0.3255654958645424, 0.26227968923834233], "color": "brown_7231"}
]
res = client.upsert(
collection_name='quick_setup',
data=data
)
print(res)
# Output
#
# {
# "upsert_count": 10
# }
// 5. Upsert some data
data = Arrays.asList(
new JSONObject(Map.of("id", 0L, "vector", Arrays.asList(-0.619954382375778f, 0.4479436794798608f, -0.17493894838751745f, -0.4248030059917294f, -0.8648452746018911f), "color", "black_9898")),
new JSONObject(Map.of("id", 1L, "vector", Arrays.asList(0.4762662251462588f, -0.6942502138717026f, -0.4490002642657902f, -0.628696575798281f, 0.9660395877041965f), "color", "red_7319")),
new JSONObject(Map.of("id", 2L, "vector", Arrays.asList(-0.8864122635045097f, 0.9260170474445351f, 0.801326976181461f, 0.6383943392381306f, 0.7563037341572827f), "color", "white_6465")),
new JSONObject(Map.of("id", 3L, "vector", Arrays.asList(0.14594326235891586f, -0.3775407299900644f, -0.3765479013078812f, 0.20612075380355122f, 0.4902678929632145f), "color", "orange_7580")),
new JSONObject(Map.of("id", 4L, "vector", Arrays.asList(0.4548498669607359f, -0.887610217681605f, 0.5655081329910452f, 0.19220509387904117f, 0.016513983433433577f), "color", "red_3314")),
new JSONObject(Map.of("id", 5L, "vector", Arrays.asList(0.11755001847051827f, -0.7295149788999611f, 0.2608115847524266f, -0.1719167007897875f, 0.7417611743754855f), "color", "black_9955")),
new JSONObject(Map.of("id", 6L, "vector", Arrays.asList(0.9363032158314308f, 0.030699901477745373f, 0.8365910312319647f, 0.7823840208444011f, 0.2625222076909237f), "color", "yellow_2461")),
new JSONObject(Map.of("id", 7L, "vector", Arrays.asList(0.0754823906014721f, -0.6390658668265143f, 0.5610517334334937f, -0.8986261118798251f, 0.9372056764266794f), "color", "white_5015")),
new JSONObject(Map.of("id", 8L, "vector", Arrays.asList(-0.3038434006935904f, 0.1279149203380523f, 0.503958664270957f, -0.2622661156746988f, 0.7407627307791929f), "color", "purple_6414")),
new JSONObject(Map.of("id", 9L, "vector", Arrays.asList(-0.7125086947677588f, -0.8050968321012257f, -0.32608864121785786f, 0.3255654958645424f, 0.26227968923834233f), "color", "brown_7231"))
);
UpsertReq upsertReq = UpsertReq.builder()
.collectionName("quick_setup")
.data(data)
.build();
UpsertResp upsertResp = client.upsert(upsertReq);
System.out.println(JSONObject.toJSON(upsertResp));
// Output:
// {"upsertCnt": 10}
// 5. Upsert some data
data = [
{id: 0, vector: [-0.619954382375778, 0.4479436794798608, -0.17493894838751745, -0.4248030059917294, -0.8648452746018911], color: "black_9898"},
{id: 1, vector: [0.4762662251462588, -0.6942502138717026, -0.4490002642657902, -0.628696575798281, 0.9660395877041965], color: "red_7319"},
{id: 2, vector: [-0.8864122635045097, 0.9260170474445351, 0.801326976181461, 0.6383943392381306, 0.7563037341572827], color: "white_6465"},
{id: 3, vector: [0.14594326235891586, -0.3775407299900644, -0.3765479013078812, 0.20612075380355122, 0.4902678929632145], color: "orange_7580"},
{id: 4, vector: [0.4548498669607359, -0.887610217681605, 0.5655081329910452, 0.19220509387904117, 0.016513983433433577], color: "red_3314"},
{id: 5, vector: [0.11755001847051827, -0.7295149788999611, 0.2608115847524266, -0.1719167007897875, 0.7417611743754855], color: "black_9955"},
{id: 6, vector: [0.9363032158314308, 0.030699901477745373, 0.8365910312319647, 0.7823840208444011, 0.2625222076909237], color: "yellow_2461"},
{id: 7, vector: [0.0754823906014721, -0.6390658668265143, 0.5610517334334937, -0.8986261118798251, 0.9372056764266794], color: "white_5015"},
{id: 8, vector: [-0.3038434006935904, 0.1279149203380523, 0.503958664270957, -0.2622661156746988, 0.7407627307791929], color: "purple_6414"},
{id: 9, vector: [-0.7125086947677588, -0.8050968321012257, -0.32608864121785786, 0.3255654958645424, 0.26227968923834233], color: "brown_7231"}
]
res = await client.upsert({
collection_name: "quick_setup",
data: data,
})
console.log(res.upsert_cnt)
// Output
//
// 10
//
在 Partition 中 Upsert Entities
如需在指定 Partition 中 Upsert Entities,请参照以下示例代码在命令中指定 Partition 名称。
- Python
- Java
- NodeJS
# 6. Upsert data in partitions
data=[
{"id": 10, "vector": [0.06998888224297328, 0.8582816610326578, -0.9657938677934292, 0.6527905683627726, -0.8668460657158576], "color": "black_3651"},
{"id": 11, "vector": [0.6060703043917468, -0.3765080534566074, -0.7710758854987239, 0.36993888322346136, 0.5507513364206531], "color": "grey_2049"},
{"id": 12, "vector": [-0.9041813104515337, -0.9610546012461163, 0.20033003106083358, 0.11842506351635174, 0.8327356724591011], "color": "blue_6168"},
{"id": 13, "vector": [0.3202914977909075, -0.7279137773695252, -0.04747830871620273, 0.8266053056909548, 0.8277957187455489], "color": "blue_1672"},
{"id": 14, "vector": [0.2975811497890859, 0.2946936202691086, 0.5399463833894609, 0.8385334966677529, -0.4450543984655133], "color": "pink_1601"},
{"id": 15, "vector": [-0.04697464305600074, -0.08509022265734134, 0.9067184632552001, -0.2281912685064822, -0.9747503428652762], "color": "yellow_9925"},
{"id": 16, "vector": [-0.9363075919673911, -0.8153981031085669, 0.7943039120490902, -0.2093886809842529, 0.0771191335807897], "color": "orange_9872"},
{"id": 17, "vector": [-0.050451522820639916, 0.18931572752321935, 0.7522886192190488, -0.9071793089474034, 0.6032647330692296], "color": "red_6450"},
{"id": 18, "vector": [-0.9181544231141592, 0.6700755998126806, -0.014174674636136642, 0.6325780463623432, -0.49662222164032976], "color": "purple_7392"},
{"id": 19, "vector": [0.11426945899602536, 0.6089190684002581, -0.5842735738352236, 0.057050610092692855, -0.035163433018196244], "color": "pink_4996"}
]
res = client.upsert(
collection_name="quick_setup",
data=data,
partition_name="partitionA"
)
print(res)
# Output
#
# {
# "upsert_count": 10
# }
import io.milvus.v2.service.vector.request.UpsertReq;
import io.milvus.v2.service.vector.response.UpsertResp;
// 6. Upsert data in parition
data = Arrays.asList(
new JSONObject(Map.of("id", 10L, "vector", Arrays.asList(0.06998888224297328f, 0.8582816610326578f, -0.9657938677934292f, 0.6527905683627726f, -0.8668460657158576f), "color", "black_3651")),
new JSONObject(Map.of("id", 11L, "vector", Arrays.asList(0.6060703043917468f, -0.3765080534566074f, -0.7710758854987239f, 0.36993888322346136f, 0.5507513364206531f), "color", "grey_2049")),
new JSONObject(Map.of("id", 12L, "vector", Arrays.asList(-0.9041813104515337f, -0.9610546012461163f, 0.20033003106083358f, 0.11842506351635174f, 0.8327356724591011f), "color", "blue_6168")),
new JSONObject(Map.of("id", 13L, "vector", Arrays.asList(0.3202914977909075f, -0.7279137773695252f, -0.04747830871620273f, 0.8266053056909548f, 0.8277957187455489f), "color", "blue_1672")),
new JSONObject(Map.of("id", 14L, "vector", Arrays.asList(0.2975811497890859f, 0.2946936202691086f, 0.5399463833894609f, 0.8385334966677529f, -0.4450543984655133f), "color", "pink_1601")),
new JSONObject(Map.of("id", 15L, "vector", Arrays.asList(-0.04697464305600074f, -0.08509022265734134f, 0.9067184632552001f, -0.2281912685064822f, -0.9747503428652762f), "color", "yellow_9925")),
new JSONObject(Map.of("id", 16L, "vector", Arrays.asList(-0.9363075919673911f, -0.8153981031085669f, 0.7943039120490902f, -0.2093886809842529f, 0.0771191335807897f), "color", "orange_9872")),
new JSONObject(Map.of("id", 17L, "vector", Arrays.asList(-0.050451522820639916f, 0.18931572752321935f, 0.7522886192190488f, -0.9071793089474034f, 0.6032647330692296f), "color", "red_6450")),
new JSONObject(Map.of("id", 18L, "vector", Arrays.asList(-0.9181544231141592f, 0.6700755998126806f, -0.014174674636136642f, 0.6325780463623432f, -0.49662222164032976f), "color", "purple_7392")),
new JSONObject(Map.of("id", 19L, "vector", Arrays.asList(0.11426945899602536f, 0.6089190684002581f, -0.5842735738352236f, 0.057050610092692855f, -0.035163433018196244f), "color", "pink_4996"))
);
upsertReq = UpsertReq.builder()
.collectionName("quick_setup")
.data(data)
.partitionName("partitionA")
.build();
upsertResp = client.upsert(upsertReq);
System.out.println(JSONObject.toJSON(upsertResp));
// Output:
// {"upsertCnt": 10}
// 6. Upsert data in partitions
data = [
{id: 10, vector: [0.06998888224297328, 0.8582816610326578, -0.9657938677934292, 0.6527905683627726, -0.8668460657158576], color: "black_3651"},
{id: 11, vector: [0.6060703043917468, -0.3765080534566074, -0.7710758854987239, 0.36993888322346136, 0.5507513364206531], color: "grey_2049"},
{id: 12, vector: [-0.9041813104515337, -0.9610546012461163, 0.20033003106083358, 0.11842506351635174, 0.8327356724591011], color: "blue_6168"},
{id: 13, vector: [0.3202914977909075, -0.7279137773695252, -0.04747830871620273, 0.8266053056909548, 0.8277957187455489], color: "blue_1672"},
{id: 14, vector: [0.2975811497890859, 0.2946936202691086, 0.5399463833894609, 0.8385334966677529, -0.4450543984655133], color: "pink_1601"},
{id: 15, vector: [-0.04697464305600074, -0.08509022265734134, 0.9067184632552001, -0.2281912685064822, -0.9747503428652762], color: "yellow_9925"},
{id: 16, vector: [-0.9363075919673911, -0.8153981031085669, 0.7943039120490902, -0.2093886809842529, 0.0771191335807897], color: "orange_9872"},
{id: 17, vector: [-0.050451522820639916, 0.18931572752321935, 0.7522886192190488, -0.9071793089474034, 0.6032647330692296], color: "red_6450"},
{id: 18, vector: [-0.9181544231141592, 0.6700755998126806, -0.014174674636136642, 0.6325780463623432, -0.49662222164032976], color: "purple_7392"},
{id: 19, vector: [0.11426945899602536, 0.6089190684002581, -0.5842735738352236, 0.057050610092692855, -0.035163433018196244], color: "pink_4996"}
]
res = await client.upsert({
collection_name: "quick_setup",
data: data,
partition_name: "partitionA"
})
console.log(res.upsert_cnt)
// Output
//
// 10
//
输出结果为一个字典,包含操作影响到的所有 Entity 数据。更多 Partition 相关操作详情,请参考管理 Partition。
Delete Entities
您可以将不再使用的数据从 Collection 中删除。 提供两种删除 Entities 的方式。
-
通过过滤删除 Entities
- Python
- Java
- NodeJS
# 7. Delete entities
res = client.delete(
collection_name="quick_setup",
filter="id in [4,5,6]"
)
print(res)
# Output
#
# {
# "delete_count": 3
# }import io.milvus.v2.service.vector.request.DeleteReq;
import io.milvus.v2.service.vector.response.DeleteResp;
// 7. Delete entities
DeleteReq deleteReq = DeleteReq.builder()
.collectionName("quick_setup")
.filter("id in [4, 5, 6]")
.build();
DeleteResp deleteResp = client.delete(deleteReq);
System.out.println(JSONObject.toJSON(deleteResp));
// Output:
// {"deleteCnt": 3}// 7. Delete entities
res = await client.delete({
collection_name: "quick_setup",
filter: "id in [4,5,6]"
})
console.log(res.delete_cnt)
// Output
//
// 3
// -
通过 ID 删除 Entities
以下示例代码展示如何从 Partition 中删除指定 ID 的 Entities。其中,partition_name 为非必填字段。
- Python
- Java
- NodeJS
res = client.delete(
collection_name="quick_setup",
ids=[18, 19],
partition_name="partitionA"
)
print(res)
# Output
#
# {
# "delete_count": 2
# }deleteReq = DeleteReq.builder()
.collectionName("quick_setup")
.ids(Arrays.asList(18L, 19L))
.partitionName("partitionA")
.build();
deleteResp = client.delete(deleteReq);
System.out.println(JSONObject.toJSON(deleteResp));
// Output:
// {"deleteCnt": 2}res = await client.delete({
collection_name: "quick_setup",
ids: [18, 19],
partition_name: "partitionA"
})
console.log(res.delete_cnt)
// Output
//
// 2
//
For details on how to use filter expressions, refer to Get 和 Scalar Query.